Briefs

By Bill Steele, Cornell

What are newspapers around the world saying about the latest speech by President George W. Bush? More importantly, how much of what they are saying is factual and how much opinion? And down the line, are some of the opinions being presented as if they were facts?

A new research program by a Cornell computer scientist, in collaboration with colleagues at the University of Pittsburgh and University of Utah, aims to teach computers to scan through text and sort opinion from fact. The research is funded by the U.S. Department of Homeland Security.

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The new research will use machine-learning algorithms to give computers examples of text expressing both fact and opinion and teach them to tell the difference. A simplified example might be to look for phrases like "according to" or "it is believed." Ironically, Cardie said, one of the phrases most likely to indicate opinion is "It is a fact that ..."

The work also will seek to determine the sources of information cited by a writer. "We're making sure that any information is tagged with a confidence. If it's low confidence, it's not useful information," Cardie added.

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